US9450409B2 - Converter station power set point analysis system and method - Google Patents
Converter station power set point analysis system and method Download PDFInfo
- Publication number
- US9450409B2 US9450409B2 US13/922,644 US201313922644A US9450409B2 US 9450409 B2 US9450409 B2 US 9450409B2 US 201313922644 A US201313922644 A US 201313922644A US 9450409 B2 US9450409 B2 US 9450409B2
- Authority
- US
- United States
- Prior art keywords
- power
- power set
- set point
- loadflow
- point candidates
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active, expires
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims description 51
- 238000004088 simulation Methods 0.000 claims description 35
- 238000005206 flow analysis Methods 0.000 claims description 18
- 239000013598 vector Substances 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 13
- 230000008859 change Effects 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 12
- 238000002347 injection Methods 0.000 description 4
- 239000007924 injection Substances 0.000 description 4
- 230000000737 periodic effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 230000001010 compromised effect Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/12—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/12—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load by adjustment of reactive power
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/34—Arrangements for transfer of electric power between networks of substantially different frequency
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/36—Arrangements for transfer of electric power between AC networks via a high-tension DC link
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Definitions
- the instant application relates to converter stations, and more particularly to power set point analysis for converter stations.
- HVDC power systems are connected to AC networks by converter stations which convert between DC on the HVDC side and AC on the AC network side.
- SCADA supervisory control and data acquisition
- SCADA typically runs programs such as OPF (optimal power flow) and provides each of the converter stations a P-Q (real and reactive power) set point once every five to fifteen minutes.
- An HLC high level controller which controls operation of the HVDC system may communicate and provide new set points to the converter stations more frequently than the SCADA system performs OPF, e.g. every 1-60 seconds. As such the HLC can change the P-Q set points of the converter stations during this inter-OPF period.
- the HLC must ensure that the new P-Q set points do not compromise the security or reliability of the AC networks. Otherwise, faults or other undesirable conditions or actions may occur in the AC networks. For example, bus voltage limits, line current limits and/or line thermal limits may be exceeded in the AC networks in response to particular changes in the P-Q set points of the converter stations.
- a methodology is provided for determining viable changes in the real and/or reactive power set points of converter stations without compromising the security or reliability of the AC power system connected to the converter stations.
- the converter stations each have a real and reactive power set point initially determined as part of a main loadflow analysis routinely performed on the AC power system.
- the method comprises: calculating real and/or reactive power set point candidates for the converter stations before the main loadflow analysis is performed again on the AC power system, the power set point candidates calculated based on information determined as part of a previous iteration of the main loadflow analysis on the AC power system; identifying which of the power set point candidates violate an operating constraint imposed on the AC power system; and defining a region of valid power set points for the converter stations that excludes the power set point candidates which violate an operating constraint imposed on the AC power system.
- the power flow analysis system comprises a processing circuit operable to calculate real and/or reactive power set point candidates for the converter stations before the main loadflow analysis is performed again on the AC power system.
- the processing circuit is further operable to identify which of the power set point candidates violate an operating constraint imposed on the AC power system and define a region of valid power set points for the converter stations that excludes the power set point candidates which violate an operating constraint imposed on the AC power system.
- the computer program comprises: program instructions to calculate real and/or reactive power set point candidates for the converter stations before the main loadflow analysis is performed again on the AC power system; program instructions to identify which of the power set point candidates violate an operating constraint imposed on the AC power system; and program instructions to define a region of valid power set points for the converter stations that excludes the power set point candidates which violate an operating constraint imposed on the AC power system.
- FIG. 1 illustrates a block diagram of an embodiment of an integrated AC-DC system with a power set point analysis system and an AC power system connected to an HVDC power system;
- FIG. 2 illustrates a block diagram of another embodiment of an integrated AC-DC system with a power set point analysis system and AC grids connected to an HVDC system;
- FIG. 3 illustrates a flow diagram of an embodiment of a method of identifying viable power set points for converter stations of an HVDC power system
- FIG. 4 illustrates a block diagram of an embodiment of a P/Q candidate analyzer included in or associated with a power set point analysis system
- FIG. 5 illustrates a schematic diagram of an embodiment of a high level controller choosing the next state of a converter station from a good region of P/Q set point candidates
- FIG. 6 illustrates a flow diagram of an embodiment of a method of determining a good region of P/Q set point candidates for converter stations
- FIG. 7 illustrates a flow diagram of an embodiment of a method of determining the convex hall of a good region of P/Q set point candidates for converter stations
- FIGS. 8A through 8C illustrate respective two-dimensional plot diagrams of the convex hall of a good region of P-Q set point candidates for two converter stations, for different numbers of loadflow simulations;
- FIGS. 9A through 9C illustrate respective three-dimensional plot diagrams of the convex hall of a good region of P-Q set point candidates for three converter stations, for different numbers of loadflow simulations;
- FIG. 10 illustrates a block diagram of an embodiment of an integrated power system with a power set point analysis system and an AC electrical network connected to a wind farm;
- FIG. 11 illustrates a block diagram of an embodiment of an integrated power system with a power set point analysis system and an AC electrical network connected to a solar farm;
- FIG. 12 illustrates a block diagram of an embodiment of an integrated power system with a power set point analysis system and AC electrical networks connected by tie-lines.
- limits on real (P) and/or reactive (Q) power set points of converter stations connected to an AC power system are determined between periodic loadflow analyses performed on the AC power system connected to the converter stations. In this way power flow can be better optimized without waiting for another loadflow analysis to be performed on the AC power system, which is typically performed every five to fifteen minutes.
- the methodology described herein takes as input various static and dynamic system data such as network topology, line status, set operating points of generators, etc., and determines the limits on the real and/or reactive power at each converter station.
- the converter station power set point analysis embodiments described herein can be applied to HVDC system that are connected to one or more AC power systems by converter stations. In a broad sense, the converter station power set point analysis embodiments described herein can be applied to any kind of converter station device capable of tracking active and reactive power references.
- this includes HVDC converter stations in point-to-point schemes, but could also be used to compute an allowable range for the power injections from e.g. intermittent power sources such as wind or solar power installations connected through converter stations.
- the converter station power set point analysis embodiments described herein can be used to define an allowable range of tie-line flows into or out of an external system to be used by automatic generation control (AGC).
- AGC automatic generation control
- FIG. 1 illustrates an embodiment of an integrated AC-DC system implemented as an MTDC-AC (multi-terminal DC-AC) system with an AC power system including one or more AC networks 100 such as AC grids connected to an HVDC system 102 by converter stations 104 .
- Each AC network 100 includes various components such as AC generators 106 , loads 108 , AC lines 110 , buses 112 , rectifiers, protective devices, etc., some of which are not shown in FIG. 1 for ease of illustration.
- the HVDC system 102 is an MTDC (multi-terminal DC) network which includes the converter stations 104 for connecting the AC networks 100 to a DC grid which is part of the MTDC network 102 .
- the DC grid includes various components such as DC cables 114 , DC-to-DC converters, etc., some of which are not shown in FIG. 1 for ease of illustration.
- the HVDC system 102 is multi-terminal according to this embodiment in that the HVDC system 102 has at least three converter stations 104 for interfacing the AC networks 100 to the DC grid.
- the converter stations 104 can be voltage or current source converters having real (P) and reactive (Q) power set points determined by an HLC (high level controller) 116 included in or associated with the HVDC system 102 .
- Each converter station 104 is a type of substation which forms the terminal equipment for a HVDC transmission line, and converts DC to AC or the reverse.
- the station 104 typically contains three-phase AC switch gear, transformers, capacitors or synchronous condensers for reactive power, filters for harmonic suppression, direct current switch gear, etc., none of which are shown in FIG. 1 .
- FIG. 1 Two AC networks 100 and one MTDC network 102 with five converter stations 104 are shown in FIG. 1 , but in general any number of AC and DC networks 100 , 102 can form the integrated AC-DC system. Also the AC networks 100 may be connected together with other AC or DC lines apart from the MTDC connections.
- FIG. 2 illustrates another embodiment of an integrated AC-DC system which also includes AC networks 100 connected to an HVDC system 102 by converter stations 104 .
- the HVDC system 102 shown in FIG. 2 does not include a DC grid. Instead, a pair of converter stations 104 is provided for connecting two different AC networks 100 over long distances. More than two AC networks 100 can be connected in this way by the HVDC system 102 e.g. by connecting various AC networks 100 across different regions of a country, between countries or across continents.
- a SCADA system 118 monitors and controls operation of the integrated AC-DC system.
- a SCADA system can be provided for each AC network 100 included in the integrated AC-DC system.
- a single SCADA system can be provided for all of the AC networks 100 included in the integrated AC-DC system.
- the HVDC system 102 can be contained fully within the AC network 100 .
- SCADA system as used herein is intended to cover both scenarios i.e. by referring to a single SCADA system for the entire integrated AC-DC system or individual SCADA systems for each AC network.
- the SCADA system 100 periodically executes a main loadflow analysis program such as OPF (optimal power flow) on the AC power system to determine operating conditions of the integrated AC-DC system.
- the operating conditions determined by the main loadflow analysis program can include bus voltages, branch power factors, currents, power flows throughout the integrated AC-DC system, etc.
- the power flows determined by the SCADA system 118 include real and reactive power (P-Q) set points for the converter stations 104 of the HVDC system 102 .
- the SCADA system 100 periodically performs the main loadflow analysis e.g. once every five to fifteen minutes. Any standard loadflow analysis program can be implemented by the SCADA system 118 to set the operating conditions of the integrated AC-DC system, and therefore no further explanation is given in this regard.
- a power set point analysis system 120 is provided as part of the integrated AC-DC system.
- Computer programs executed by the power set point analysis system 120 to identify viable P/Q set point candidates for the converter stations 104 utilize information generated by the SCADA system 100 .
- the P/Q set point candidates are ‘viable’ or ‘good’ in that the P/Q set points of the converter stations 104 can be changed to any of the corresponding candidates and still work or function without compromising the security or reliability of the integrated AC-DC system.
- the power set point analysis system 120 can be collocated with or integrated in the SCADA system 100 . Alternatively, the power set point analysis system 120 can be located separate from the SCADA system 100 elsewhere in the integrated AC-DC system.
- the power set point analysis system 120 comprises a processing circuit 122 which can include digital and/or analog circuitry such as one or more controllers, processors, ASICs (application-specific integrated circuits), etc. for executing program code which identifies viable P/Q set point candidates for the converter stations 104 .
- the power set point analysis system 120 includes a P/Q candidate analyzer 124 included in or associated with the processing circuit 122 for performing the converter station P/Q set point analysis techniques described herein.
- the power set point analysis system 120 also has a storage medium such as DRAM (dynamic random access memory) 126 and an HDD (hard disk drive) 128 for storing the program code and related data processed and accessed by the processing circuit 122 and P/Q candidate analyzer 126 during execution of program code.
- the storage medium also stores the results generated by the power set point analysis system 120 .
- the power set point analysis system 120 also has I/O (input/output) circuitry 130 for communicating with the SCADA system 118 and the HLC 116 .
- the power set point analysis system 120 can receive information from the SCADA system 100 which is determined as part of the main loadflow analysis performed on the AC power system via the I/O circuitry 130 .
- the power set point analysis system 120 can also send a region R of valid P/Q set point candidates for the converter stations 104 to the HLC 114 for consideration via the I/O circuitry 130 .
- This region R of valid P/Q set point candidates excludes those candidates determined by the power set point analysis system 120 to violate an operating constraint imposed on the AC power system, such as bus voltage limits, line current limits, line thermal limits, etc.
- the HLC 116 can provide new P/Q set points to the converter stations 106 more frequently than the converter station set points are updated by the SCADA system 100 as part of the main loadflow analysis of the AC networks 100 .
- the HLC 116 can periodically provide new P/Q set points to the converter stations 104 every 1-60 seconds or at other periodic intervals, or in response to a triggering event such as a command received by the HLC 116 or an event within the HVDC system 102 detected by or indicated to the HLC 116 .
- the HLC 116 can change the converter station P/Q set points to any combination of P/Q set points indicated as being valid by the power set point analysis system 120 , before the main loadflow analysis is performed again on the AC power system.
- FIG. 3 illustrates an embodiment of the P/Q set point identification method implemented by the power set point analysis system 120 .
- the power set point analysis system 120 calculates real and/or reactive power (P/Q) set point candidates for the converter stations 104 before the main loadflow analysis is performed again on the AC power system (Block 210 ).
- the P/Q set point candidates are calculated by the power set point analysis system 120 based on information determined by the SCADA system 100 as part of a previous iteration of the main loadflow analysis on the AC power system. This information can include, but is not limited to, bus voltages, load power factors, currents, power flows throughout the integrated AC-DC system, etc.
- the power set point analysis system 120 also identifies which of the P/Q set point candidates (P BAD /Q BAD ) violate an operating constraint imposed on the AC power system (Block 220 ).
- the operating constraint can include, but is not limited to, bus voltage limits, line current limits, line thermal limits, etc.
- the power set point analysis system 120 then defines a ‘good region’ R which contains only valid ones of the P/Q set point candidates (P GOOD /Q GOOD ) for the converter stations 104 (Block 230 ).
- the P/Q set point candidates P BAD /Q BAD which violate one or more operating constraints imposed on the AC power system are excluded from the good region R so that R ⁇ P GOOD , Q GOOD ⁇ .
- Multiple loadflow simulations are performed on the HVDC system 102 to derive R ⁇ P GOOD , Q GOOD ⁇ .
- R ⁇ P GOOD , Q GOOD ⁇ can be determined more than one time (by repeating Block 210 through Block 240 ) before the SCADA system 118 performs another iteration of the main loadflow analysis on the AC power system (Block 200 ). New P/Q set points are determined for the converter stations 104 as a result of the main loadflow analysis.
- the HLC 116 can change the P/Q set points of the converter stations 104 to any suitable combination of the P/Q set point candidates included in the good region R before the main loadflow analysis is performed again on the AC power system, without compromising the security or reliability of the integrated AC-DC system.
- the HLC 116 solves an optimization problem.
- the variables x can be for example the real (P) and reactive (Q) power outputs of the various converter stations 104 .
- the cost function may consist of one or more objectives such as minimization of line losses, maximization of power delivery from one or more AC networks 100 , etc.
- the constraints g(x) ⁇ 0 can be used to check for violations in the DC grid, for example instantaneous power delivered by a converter station 104 must be lower than its VA (apparent power) rating.
- the good region R provided from the power set point analysis system 120 to the HLC 116 can be described mathematically as a convex hull in one embodiment.
- the convex hull can be formulated by a set of inequality equations, of the form g 1 (x) ⁇ 0. These constraints are added to the optimization problem solved by the HLC 116 .
- FIG. 4 illustrates an embodiment of the P/Q candidate analyzer 124 that determines the good region R of P/Q set point candidates provided to the HLC 116 .
- the quantity ⁇ S [ ⁇ P 1 , ⁇ Q 1 , ⁇ P 2 , ⁇ Q 2 , . . . , ⁇ P N , ⁇ Q N ] is defined as a change in the set point vector S.
- the converter stations 104 can operate at a P-Q set point given by S+ ⁇ S.
- the P/Q candidate analyzer 124 finds the set of the possible change in P/Q set point vectors, ⁇ S GOOD , which does not violate any operational constraints of the AC networks 100 .
- the resulting region R in the 2N dimensional space, is referred to as a ‘good region’ if all the P/Q set point candidates contained within region R are valid points (R ⁇ P GOOD /Q GOOD ⁇ ) i.e.
- All P/Q set point candidates included in the good region R can be considered equally favorable.
- the good region R containing many valid P/Q set point candidates, effectively serves as a region of backup states for the converter stations 104 .
- the converter stations 104 can go to any of these backup states, as desired or required.
- FIG. 5 illustrates an embodiment of the decision process by the HLC 116 in choosing the next state of a converter station 104 from the good region R of P/Q set point candidates, based on a particular operating condition.
- the HLC 116 can chose to move the converter station 104 from the present operating state (S0) to a different operating state (S01 or S02) depending on whether a DC line outage has occurred in the HVDC system 102 .
- the good region R provided by the P/Q candidate analyzer 124 contains valid P/Q set point candidates N1 and N2 that can enable the shifting of the converter station 104 from the present state S0 to either state S01 or S02.
- this example is overly simplified and purely exemplary, and can be readily expanded to include various converter stations 104 , account for several operating considerations and provide many valid P/Q set point candidates in the good region R.
- the P/Q candidate analyzer 124 calculates the good region R which contains valid P/Q set point candidates for the converter stations 104 of the integrated AC-DC system.
- the P/Q candidate analyzer 124 can take as inputs various data, including but not limited to, network topology, present system state, bus voltage limits, line thermal limits, generator droop and limits, converter station limits, etc. This information can be provided by the SCADA system 118 , and can be determined as part of the main loadflow analysis performed by the SCADA system 118 on the AC power system.
- the P/Q candidate analyzer 124 may be invoked by a regular timer (i.e. periodically) and/or by an event driven trigger.
- the good region R determined by the P/Q candidate analyzer 124 is passed to the HLC 116 which may use R for finding new set points for the converter stations 104 before the main loadflow analysis is performed again by the SCADA system 100 .
- the integrated AC-DC system is considered to be secure and reliable if there are no over or under voltage conditions at any of the buses and no over currents in any of the transmission lines, at the present operating points as well as for worst case contingencies.
- the integrated AC-DC system is also considered secure and reliable if in addition to the above constraints, the system remains stable for small signal perturbations.
- the vector ⁇ S GOOD can be calculated with or without considering contingency scenarios. In one embodiment, a vector ⁇ S GOOD is calculated for each different contingency condition in the HVDC power system 102 or the AC networks 100 under consideration.
- the ⁇ P/Q set point candidates included in each of the ⁇ S GOOD vectors excludes the P/Q set point candidates (P BAD /Q BAD ) which violate an operating constraint imposed on the AC power system under the corresponding contingency condition.
- the vector ⁇ S can be perceived as a point in the 2N dimensional space, where each of the dimensions represents one of the elements of the vector ⁇ S.
- the P/Q candidate analyzer 124 finds the set of points in the 2N dimensional space which if equal to ⁇ S does not compromise the security of the integrated AC-DC system. As part of this process, the P/Q candidate analyzer 124 assumes that the current system with the converter stations 104 at state S is secure. The origin of the 2N dimensional space is thus considered to be a secure point.
- the problem solved by the P/Q candidate analyzer 124 is essentially a non-linear search, and can be solved by techniques such as the Particle Swarm Optimization (PSO), Genetic Algorithm (GA), or similar multi-agent search techniques. Irrespective of the actual algorithm chosen, an embodiment of the overall methodology of the P/Q candidate analyzer 124 is described next with the aid of FIG. 6 .
- PSO Particle Swarm Optimization
- GA Genetic Algorithm
- an iterative method for determining the good region R ⁇ P GOOD , Q GOOD ⁇ of valid P/Q set point candidates for the converter stations 104 is provided, where ‘Max’ is the maximum number of iterations to be performed, ‘Iter’ is the number of iterations completed, ‘NP’ is the number of P/Q set point candidates generated in each iteration, and ‘NumPoint’ is the number of P/Q set point candidates evaluated.
- Each generated P/Q set point candidate represents a new combination of P/Q set points for the converter stations 104 .
- a total of NP loadflow simulations is performed. As described previously, all points within the region R are considered to be valid P/Q set point candidates.
- the method of choosing the candidates for evaluation can be stochastic, if methods such as PSO are used, or can be a deterministic brute-force approach. Multi-agent, directional search techniques such as the PSO method should have a lower computation requirement than deterministic search methods.
- the region ⁇ S GOOD is chosen depending on the cluster of good points obtained over multiple iterations.
- the iterative method includes setting the iteration count Iter to zero (Block ‘Start’).
- the P/Q candidate analyzer 124 checks if Iter is greater than the maximum number of iterations Max (Block C1). If Iter ⁇ Max, the P/Q candidate analyzer 124 generates NP number of new P/Q set point candidates for loadflow evaluation and sets NumPoint to zero (Block S1). Next, the P/Q candidate analyzer 124 checks if NumPoint is greater than NP (Block C2). If NumPoint>NP, the good region R of P/Q set point candidates is updated accordingly (Block S7).
- the P/Q candidate analyzer 124 simulates an update to the P/Q set points of the converter stations 104 for the present candidate and runs the loadflow simulation for the updated system model (Block S2).
- the P/Q candidate analyzer 124 then checks for any violations, including, but not limited to, line current and bus voltage violations (Blocks S3 and C3). If there are any violations, the corresponding P/Q set point candidate that caused the violation is identified as a bad or invalid point that should be excluded from the good region R (Block S5). Otherwise, that candidate is indicated as a valid or good point that should be included in the good region R (Block S4).
- the P/Q candidate analyzer 124 then increases the value of NumPoint by one (Blocks S6 and C2), updates the good region R accordingly (Block S7), and increments the value of Iter by one (Block S8). This process continues until Iter>Max (Block C1) or other stopping criteria is satisfied.
- the good region R of P/Q set point candidates is finally determined at this point, output to the HLC 116 and displayed visually and/or provided in text (Block S9) and the iterative process stops (Block ‘Stop’).
- a simplification of the method illustrated in FIG. 6 can be achieved by assuming that the good region R ⁇ P GOOD /Q GOOD ⁇ of valid P/Q set point candidates is convex.
- the convex hull C GOOD of the good candidates may be used to define the region R.
- FIG. 7 illustrates an embodiment of the convex hull simplification.
- a number of P/Q set point candidates are tested to see if they are good (Block 300 ).
- the good candidates are used to update the convex hull C GOOD (Block 310 ).
- new P/Q set point candidates are chosen and evaluated in the next iteration (Block 320 ).
- the choice of new candidates can be made stochastically.
- the new good candidates are used to update the convex hull C GOOD from the immediately preceding iteration (Block 330 ).
- the good region R ⁇ P GOOD /Q GOOD ⁇ of valid P/Q set point candidates is then updated based on the new convex hull C GOOD (Block 340 ). Greater preference can be given to the P/Q set point candidates near the boundary of C GOOD , while lower preference can be given to the candidates inside C GOOD or which are too far away from C GOOD .
- FIG. 8A shows the resulting convex hall boundary after 200 loadflow simulations
- FIG. 8B shows the convex hall boundary after 800 loadflow simulations
- FIG. 8C shows the convex hall boundary after 2000 loadflow simulations.
- the power set point analysis system 120 identifies which of the P/Q set point candidates violate an operating constraint imposed on the AC power system by performing several loadflow simulations before the main loadflow analysis is performed again by the SCADA system 118 .
- Each of the loadflow simulations is performed by varying the converter station P/Q set points in accordance with a different combination of the available P/Q set point candidates.
- Each combination of the P/Q set point candidates that results in one of a loadflow simulation violating an operating constraint imposed on the AC power system is identified as bad or invalid (P BAD /Q BAD ) and excluded from the good region R ⁇ P GOOD /Q GOOD ⁇ of valid P/Q set point candidates.
- the good or valid (P GOOD /Q GOOD ) P/Q set point candidates included in the good region R determine the convex hull.
- a shape or set is convex if for any two points that are part of the shape, the whole connecting line segment is also part of the shape.
- the corresponding convex hull is the smallest convex set that contains that subset.
- the convex hull of a set of points S in n dimensions is the intersection of all convex sets containing S. For N points p 1 , p 2 , . . . , p N , the convex hull is then given by:
- the P/Q candidate set point identification embodiments described use loadflow simulations to identify which changes in the converter station P/Q set points are allowable and which ones are not. If a change in a particular P/Q set point causes a violation of any AC limits of the corresponding AC network 100 , then that P/Q set point candidate change is not allowed and excluded from the good region R.
- Typical AC limits for determining the validity or invalidity of the P/Q set point candidates can be thermal limits, typically of transmission lines and transformers, and voltage limits of bus voltages.
- FIG. 9A shows the resulting convex hall boundary after 200 loadflow simulations
- FIG. 9B shows the convex hall boundary after 800 loadflow simulations
- FIG. 9C shows the convex hall boundary after 4000 loadflow simulations.
- a significant computational advantage is also seen in the three-dimensional case.
- the power set point analysis system 120 provides the HLC 116 with a good region R ⁇ P GOOD /Q GOOD ⁇ of valid P/Q set point candidates from which appropriate ⁇ P- ⁇ Q set points of the converter stations 104 can be chosen.
- the good region R ensures secure operation even under contingency scenarios.
- the HLC 116 can change the operating point of one or more converter stations 104 and realize certain objectives.
- the objectives realized by the HLC 116 may include, but are not limited to, achieving better network stability, lowering system losses, avoiding or alleviating thermal overloading of lines, maintaining voltage regulation at buses, improving network security, etc.
- the embodiments described herein help co-ordination of a MTDC grid with an AC grid. Specifically with regard to the convex hull methods described herein, a usable approximation of the good region R can be obtained rather quickly and then successively improved using subsequent calculations.
- FIG. 10 illustrates another embodiment of an integrated power system where an AC electrical network 400 is connected to a wind farm 402 through a converter station 104 .
- the converter station 104 is included in or associated with a power controller 404 , and may or may not be a high voltage converter.
- the power controller 404 can control real and/or reactive power flowing through the converter station 104 .
- HVDC converters are a type of power flow controller. In general, the power flow controller 404 may or may not have a converter station 104 .
- the power set point analysis system 120 collects various data from the AC electrical network 400 such as network data, operating conditions, etc. and determines viable real and/or reactive power injections R ⁇ P GOOD /Q GOOD ⁇ from these intermittent generators as previously described herein, and provides this information to the converter stations 104 for implementation between periodic loadflow analyses of the AC electrical network 400 .
- FIG. 11 illustrates yet another embodiment of an integrated power system which is similar to the embodiment shown in FIG. 10 , however the DC system is a solar farm 500 .
- FIG. 12 illustrates still another embodiment of an integrated power system comprising AC electrical networks 600 and tie-lines 602 for connecting the different AC electrical networks 600 to one another.
- Some of these tie-lines 602 can have a dedicated power flow controller 604 such as a so-called back-to-back HVDC converter station′, and other ones of the tie-lines 602 can be controlled by a so-called ‘automatic generation control’ (AGC) 606 .
- AGC automatic generation control
- the tie-lines 602 can inject power (real and/or reactive) from one AC electrical network 600 to another.
- the converter stations 104 are included in or associated with the power flow controller 604 .
- the power set point analysis system 120 identify viable real and/or reactive power injections R ⁇ P GOOD /Q GOOD ⁇ that can be provided to the tie-lines 602 .
- ‘Electrical Network #1’ is connected to various other networks by tie-lines 602 .
- Each network 600 may have its own SCADA system.
- the power set point analysis system 120 calculates what the real and/or reactive power injection limits should be for each of the tie-lines 602 as previously described herein. These limits can be provided either to the tie-line power flow controllers 604 or the AGC 606 , depending on which entity is responsible for the tie-line control.
- the embodiments described herein identify viable real (P) and/or reactive (Q) power limits of the converter stations 104 in an integrated power system. If the operating points of the converter stations 104 are changed by the HLC 116 with any real and/or reactive power values, from within these calculated limits, the security and reliability of the integrated power is not compromised. As such, actions taken by the HLC 116 do not adversely affect the integrated power system. Also, a stochastic-type search method can be used as previously described herein to ensure that the evaluated P/Q set points are mostly the ones which have a greater chance of being in the good region R. In addition, the P/Q set point search methodology described herein significantly lowers the computational effort compared to non-directed search methods such as the brute force method.
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Description
Claims (24)
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/922,644 US9450409B2 (en) | 2013-06-20 | 2013-06-20 | Converter station power set point analysis system and method |
SE1551671A SE540926C2 (en) | 2013-06-20 | 2014-06-18 | Converter station power set point analysis system and method |
DE112014002933.5T DE112014002933T5 (en) | 2013-06-20 | 2014-06-18 | Converter station power setpoint analysis system and method |
CN201480041844.9A CN105493371B (en) | 2013-06-20 | 2014-06-18 | Current conversion station power set point analysis system and method |
PCT/US2014/042962 WO2014205089A1 (en) | 2013-06-20 | 2014-06-18 | Converter station power set point analysis system and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/922,644 US9450409B2 (en) | 2013-06-20 | 2013-06-20 | Converter station power set point analysis system and method |
Publications (2)
Publication Number | Publication Date |
---|---|
US20140379157A1 US20140379157A1 (en) | 2014-12-25 |
US9450409B2 true US9450409B2 (en) | 2016-09-20 |
Family
ID=51230166
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/922,644 Active 2034-07-16 US9450409B2 (en) | 2013-06-20 | 2013-06-20 | Converter station power set point analysis system and method |
Country Status (5)
Country | Link |
---|---|
US (1) | US9450409B2 (en) |
CN (1) | CN105493371B (en) |
DE (1) | DE112014002933T5 (en) |
SE (1) | SE540926C2 (en) |
WO (1) | WO2014205089A1 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20210088984A1 (en) * | 2019-01-28 | 2021-03-25 | Johnson Controls Technology Company | Building management system with hybrid edge-cloud processing |
WO2022245972A1 (en) * | 2021-05-18 | 2022-11-24 | Achuthan & Co Llc | Renewable electricity grid having remote generation |
Families Citing this family (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2015184188A1 (en) * | 2014-05-28 | 2015-12-03 | California Institue Of Technology | Systems and methods for convex relaxations and linear approximations for optimal power flow in multiphase radial networks |
WO2016022603A1 (en) | 2014-08-04 | 2016-02-11 | California Institute Of Technology | Distributed gradient descent for solving optimal power flow in radial networks |
KR102014427B1 (en) * | 2015-07-07 | 2019-08-26 | 엘에스산전 주식회사 | Power network mom|nitering system and method thereof |
US11171509B2 (en) | 2016-02-25 | 2021-11-09 | California Institute Of Technology | Adaptive charging network using adaptive charging stations for electric vehicles |
CN107863769B (en) * | 2017-11-13 | 2019-12-24 | 厦门理工学院 | Design method for grid-connected operation of DC microgrid system |
EP3718073A4 (en) | 2017-12-01 | 2021-08-25 | California Institute of Technology | OPTIMIZATION FRAMEWORK AND PROCESS FOR ADAPTIVE EV CHARGING |
CN108767895B (en) * | 2018-05-25 | 2021-05-18 | 国网四川省电力公司经济技术研究院 | Method for optimizing capacity of water-wind-solar matched power supply of sending-end system by considering resource constraint |
US11451061B2 (en) * | 2018-11-02 | 2022-09-20 | Battelle Memorial Institute | Reconfiguration of power grids during abnormal conditions using reclosers and distributed energy resources |
EP3657623A1 (en) * | 2018-11-21 | 2020-05-27 | ABB Schweiz AG | Network system for hybrid ac/dc grids |
US10971934B2 (en) * | 2018-12-31 | 2021-04-06 | Abb Schweiz Ag | Distribution networks with flexible direct current interconnection system |
US11376981B2 (en) | 2019-02-08 | 2022-07-05 | California Institute Of Technology | Systems and methods for adaptive EV charging |
US10637244B1 (en) * | 2019-07-08 | 2020-04-28 | Abb Schweiz Ag | Voltage control of a facts shunt compensator |
WO2021008695A1 (en) * | 2019-07-16 | 2021-01-21 | Siemens Energy Global GmbH & Co. KG | Method and control device for operating a converter-based grid unit |
CN110401201B (en) * | 2019-08-14 | 2021-06-15 | 国网冀北电力有限公司电力科学研究院 | Reactive power configuration method, computer device, and readable storage medium |
CN111725814B (en) * | 2020-07-13 | 2024-04-09 | 国网新疆电力有限公司 | Reactive replacement method for extra-high voltage converter station phase-change regulator and substation reactive equipment |
EP4009467A1 (en) * | 2020-12-02 | 2022-06-08 | General Electric Technology GmbH | Improvements in or relating to power transmission networks |
CN113110263A (en) * | 2021-05-24 | 2021-07-13 | 国网湖北省电力有限公司直流运检公司 | Intelligent management and control system for operation and inspection operation of converter station |
FR3131116B1 (en) * | 2021-12-20 | 2025-01-10 | Commissariat Energie Atomique | Electrical architecture comprising a linear photovoltaic installation made up of several groups of photovoltaic panels and a direct current (DC) network, connected to an alternating current (AC) transport and/or distribution network with possible transport of power from the AC network by the DC network. |
FR3131117B1 (en) * | 2021-12-20 | 2025-01-10 | Commissariat Energie Atomique | Electrical architecture comprising at least one linear photovoltaic installation made up of several groups of photovoltaic panels and a direct current (DC) network, connected to an alternating current (AC) transport and/or distribution network with arbitration of the power injected from the DC network to the AC network. |
Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040158417A1 (en) * | 2002-11-06 | 2004-08-12 | Bonet Antonio Trias | System and method for monitoring and managing electrical power transmission and distribution networks |
US20070250217A1 (en) | 2006-04-25 | 2007-10-25 | Korea Electric Power Corporation | System and method for automatically operating upfc (unified power flow controller) connected to scada (supervisory control and data acquisition) |
WO2008025162A1 (en) | 2007-08-27 | 2008-03-06 | Sureshchandra Patel | System and method of loadflow calculation for electrical power system |
US20080150283A1 (en) * | 2006-12-22 | 2008-06-26 | Ingeteam, S.A. | Reactive power control for operating a wind farm |
US20080262820A1 (en) * | 2006-07-19 | 2008-10-23 | Edsa Micro Corporation | Real-time predictive systems for intelligent energy monitoring and management of electrical power networks |
US20080281474A1 (en) * | 2002-09-03 | 2008-11-13 | Patel Sureshchandra B | System of Super Super Decoupled Loadflow Computation for Electrical Power System |
US20100106338A1 (en) * | 2008-10-29 | 2010-04-29 | Korea Electric Power Corporation | Optimized system voltage control method through coordinated control of reactive power source |
US20100145533A1 (en) * | 2009-10-26 | 2010-06-10 | General Electric Company | Power ramp rate control for renewable variable power generation systems |
CA2666743A1 (en) | 2009-01-07 | 2010-07-07 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator system and method of controlling output of the same |
US20100298996A1 (en) * | 2007-10-16 | 2010-11-25 | Gadinger Joerg | Method for operating a power station |
US20110064573A1 (en) * | 2009-09-11 | 2011-03-17 | Viripullan Renjith | System and methods for determining a monitor set point limit for a wind turbine |
US20110095532A1 (en) * | 2008-04-02 | 2011-04-28 | Nordex Energy Gmbh | Method for operating a wind power plant having a doubly-fed asynchronous machine and wind power plant having a doubly-fed asynchronous machine |
US20110156389A1 (en) * | 2008-06-06 | 2011-06-30 | Teresa Arlaban Gabeiras | Wind turbine control method |
US20110175353A1 (en) * | 2010-01-20 | 2011-07-21 | Per Egedal | Wind farm power control based on matrix reflecting a power load distribution between individual wind turbines |
US20110251732A1 (en) * | 2010-04-10 | 2011-10-13 | Schweitzer Iii Edmund O | Systems and method for obtaining a load model and related parameters based on load dynamics |
US20110301769A1 (en) * | 2010-08-12 | 2011-12-08 | Vestas Wind Systems A/S | Control of a wind power plant |
US20120091817A1 (en) * | 2010-10-18 | 2012-04-19 | Advanced Energy Industries, Inc. | System, method, and apparatus for ac grid connection of series-connected inverters |
US8170723B2 (en) | 2006-10-05 | 2012-05-01 | Abb Research Ltd. | Determination and use of power system sensitivities |
US20120191440A1 (en) * | 2011-01-25 | 2012-07-26 | Power Analytics Corporation | Systems and methods for real-time dc microgrid power analytics for mission-critical power systems |
US20130169241A1 (en) * | 2011-12-12 | 2013-07-04 | Acciona Windpower, S. A. | Control method of a wind turbine generator |
US20130277969A1 (en) * | 2012-04-20 | 2013-10-24 | Kaj Skov Nielsen | Wind park control system |
US20140046500A1 (en) * | 2012-08-09 | 2014-02-13 | Rajiv Kumar Varma | Use of distributed generator (dg) inverters as statcoms for decreasing line losses |
US20140062085A1 (en) * | 2012-08-31 | 2014-03-06 | General Electric Company | Voltage control for wind turbine generators |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103119821B (en) * | 2010-09-30 | 2016-01-13 | Abb研究有限公司 | Multiterminal HVDC system coordination controls |
-
2013
- 2013-06-20 US US13/922,644 patent/US9450409B2/en active Active
-
2014
- 2014-06-18 WO PCT/US2014/042962 patent/WO2014205089A1/en active Application Filing
- 2014-06-18 DE DE112014002933.5T patent/DE112014002933T5/en active Pending
- 2014-06-18 SE SE1551671A patent/SE540926C2/en unknown
- 2014-06-18 CN CN201480041844.9A patent/CN105493371B/en active Active
Patent Citations (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080281474A1 (en) * | 2002-09-03 | 2008-11-13 | Patel Sureshchandra B | System of Super Super Decoupled Loadflow Computation for Electrical Power System |
US20040158417A1 (en) * | 2002-11-06 | 2004-08-12 | Bonet Antonio Trias | System and method for monitoring and managing electrical power transmission and distribution networks |
US20070250217A1 (en) | 2006-04-25 | 2007-10-25 | Korea Electric Power Corporation | System and method for automatically operating upfc (unified power flow controller) connected to scada (supervisory control and data acquisition) |
US20080262820A1 (en) * | 2006-07-19 | 2008-10-23 | Edsa Micro Corporation | Real-time predictive systems for intelligent energy monitoring and management of electrical power networks |
US8170723B2 (en) | 2006-10-05 | 2012-05-01 | Abb Research Ltd. | Determination and use of power system sensitivities |
US20080150283A1 (en) * | 2006-12-22 | 2008-06-26 | Ingeteam, S.A. | Reactive power control for operating a wind farm |
WO2008025162A1 (en) | 2007-08-27 | 2008-03-06 | Sureshchandra Patel | System and method of loadflow calculation for electrical power system |
US20120089264A1 (en) * | 2007-08-27 | 2012-04-12 | Patel Sureshchandra B | System and method of loadflow calculation for electrical power system |
US20100298996A1 (en) * | 2007-10-16 | 2010-11-25 | Gadinger Joerg | Method for operating a power station |
US20110095532A1 (en) * | 2008-04-02 | 2011-04-28 | Nordex Energy Gmbh | Method for operating a wind power plant having a doubly-fed asynchronous machine and wind power plant having a doubly-fed asynchronous machine |
US20110156389A1 (en) * | 2008-06-06 | 2011-06-30 | Teresa Arlaban Gabeiras | Wind turbine control method |
US20100106338A1 (en) * | 2008-10-29 | 2010-04-29 | Korea Electric Power Corporation | Optimized system voltage control method through coordinated control of reactive power source |
CA2666743A1 (en) | 2009-01-07 | 2010-07-07 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator system and method of controlling output of the same |
US20110064573A1 (en) * | 2009-09-11 | 2011-03-17 | Viripullan Renjith | System and methods for determining a monitor set point limit for a wind turbine |
US20100145533A1 (en) * | 2009-10-26 | 2010-06-10 | General Electric Company | Power ramp rate control for renewable variable power generation systems |
US20110175353A1 (en) * | 2010-01-20 | 2011-07-21 | Per Egedal | Wind farm power control based on matrix reflecting a power load distribution between individual wind turbines |
US20110251732A1 (en) * | 2010-04-10 | 2011-10-13 | Schweitzer Iii Edmund O | Systems and method for obtaining a load model and related parameters based on load dynamics |
US20110301769A1 (en) * | 2010-08-12 | 2011-12-08 | Vestas Wind Systems A/S | Control of a wind power plant |
US20120091817A1 (en) * | 2010-10-18 | 2012-04-19 | Advanced Energy Industries, Inc. | System, method, and apparatus for ac grid connection of series-connected inverters |
US20120191440A1 (en) * | 2011-01-25 | 2012-07-26 | Power Analytics Corporation | Systems and methods for real-time dc microgrid power analytics for mission-critical power systems |
US20130169241A1 (en) * | 2011-12-12 | 2013-07-04 | Acciona Windpower, S. A. | Control method of a wind turbine generator |
US20130277969A1 (en) * | 2012-04-20 | 2013-10-24 | Kaj Skov Nielsen | Wind park control system |
US20140046500A1 (en) * | 2012-08-09 | 2014-02-13 | Rajiv Kumar Varma | Use of distributed generator (dg) inverters as statcoms for decreasing line losses |
US20140062085A1 (en) * | 2012-08-31 | 2014-03-06 | General Electric Company | Voltage control for wind turbine generators |
Non-Patent Citations (2)
Title |
---|
Das, D. et al., "Increasing Inter-Area Available Transfer Capacity using Controllable Network Transformers", 2010 IEEE Energy Conversion Congress and Exposition (ECCE), Atlanta, Georgia, Sep. 12-16, 2010, pp. 3618-3625. |
Liu, C.-W. et al., "Application of Synchronised Phasor Measurements to Real-Time Transient Stability Prediction", IEE Proceedings-Generation, Transmission and Distribution, vol. 142, Issue 4, Jul. 1995, pp. 355-360. |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20210088984A1 (en) * | 2019-01-28 | 2021-03-25 | Johnson Controls Technology Company | Building management system with hybrid edge-cloud processing |
US11762343B2 (en) * | 2019-01-28 | 2023-09-19 | Johnson Controls Tyco IP Holdings LLP | Building management system with hybrid edge-cloud processing |
WO2022245972A1 (en) * | 2021-05-18 | 2022-11-24 | Achuthan & Co Llc | Renewable electricity grid having remote generation |
Also Published As
Publication number | Publication date |
---|---|
US20140379157A1 (en) | 2014-12-25 |
WO2014205089A1 (en) | 2014-12-24 |
CN105493371A (en) | 2016-04-13 |
CN105493371B (en) | 2018-07-03 |
SE1551671A1 (en) | 2015-12-18 |
DE112014002933T5 (en) | 2016-03-17 |
SE540926C2 (en) | 2018-12-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9450409B2 (en) | Converter station power set point analysis system and method | |
Bueno et al. | Stability assessment for transmission systems with large utility‐scale photovoltaic units | |
Milanović | Probabilistic stability analysis: the way forward for stability analysis of sustainable power systems | |
Islam et al. | Coordinated decentralized emergency voltage and reactive power control to prevent long-term voltage instability in a power system | |
Mahmoud | Voltage stability analysis of radial distribution networks using catastrophe theory | |
Faza | A probabilistic model for estimating the effects of photovoltaic sources on the power systems reliability | |
Adewole et al. | Adaptive under‐voltage load shedding scheme for large interconnected smart grids based on wide area synchrophasor measurements | |
WO2018022463A1 (en) | Microgrid power flow monitoring and control | |
Ghaderi Darebaghi et al. | Dynamic multi‐stage under frequency load shedding considering uncertainty of generation loss | |
Derafshian Maram et al. | Event‐based remedial action scheme against super‐component contingencies to avert frequency and voltage instabilities | |
Modarresi et al. | New adaptive and centralised under‐voltage load shedding to prevent short‐term voltage instability | |
Javadi et al. | Mixed integer linear formulation for undervoltage load shedding to provide voltage stability | |
Yusof et al. | A new under‐voltage load shedding scheme for islanded distribution system based on voltage stability indices | |
Chen et al. | Disturbance rejection‐based LFC for multi‐area parallel interconnected AC/DC system | |
Preece et al. | Probabilistic risk assessment of rotor angle instability using fuzzy inference systems | |
Galloway et al. | Optimal flexible alternative current transmission system device allocation under system fluctuations due to demand and renewable generation | |
Hadavi et al. | Optimal placement and sizing of DGs considering static voltage stability | |
Hoseinzadeh et al. | Emergency wind power plant re‐dispatching against transmission system cascading failures using reverse tracking of line power flow | |
Amraee et al. | System protection scheme for mitigation of cascaded voltage collapses | |
Gu et al. | Optimisation for unit restarting sequence considering decreasing trend of unit start‐up efficiency after a power system blackout | |
Kisengeu et al. | Under Voltage Load Shedding using Hybrid Metaheuristic Algorithms for Voltage Stability Enhancement: A Review | |
Sheikhzadeh-Baboli et al. | A hybrid adaptive algorithm for power system frequency restoration based on proposed emergency demand side management | |
Jabari et al. | Multi‐objective optimal preventive islanding based on stochastic backward elimination strategy considering uncertainties of loads and wind farms | |
SAPARI et al. | Load shedding scheme based on frequency and voltage stability for an islanding operation of a distribution network connected to mini-hydro generation | |
Lee et al. | Generation re-dispatch algorithm against voltage collapse in Jeju island system with a frequency control by high-voltage direct current |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: ABB RESEARCH LTD., SWITZERLAND Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:DAS, DEBRUP;NUQUI, REYNALDO;LARSSON, MATS;SIGNING DATES FROM 20130620 TO 20130627;REEL/FRAME:031223/0610 |
|
FEPP | Fee payment procedure |
Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
AS | Assignment |
Owner name: ABB SCHWEIZ AG, SWITZERLAND Free format text: MERGER;ASSIGNOR:ABB RESEARCH LTD.;REEL/FRAME:051419/0309 Effective date: 20190416 |
|
AS | Assignment |
Owner name: ABB POWER GRIDS SWITZERLAND AG, SWITZERLAND Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ABB SCHWEIZ AG;REEL/FRAME:052916/0001 Effective date: 20191025 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 4 |
|
AS | Assignment |
Owner name: HITACHI ENERGY SWITZERLAND AG, SWITZERLAND Free format text: CHANGE OF NAME;ASSIGNOR:ABB POWER GRIDS SWITZERLAND AG;REEL/FRAME:058666/0540 Effective date: 20211006 |
|
AS | Assignment |
Owner name: HITACHI ENERGY LTD, SWITZERLAND Free format text: MERGER;ASSIGNOR:HITACHI ENERGY SWITZERLAND AG;REEL/FRAME:065549/0576 Effective date: 20231002 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 8 |